Wake Manuscript Analyses
2025
Table 1
By AKI
## Stratified by bin_aki48h
## 0 1 p test
## n 1097 185
## val_age (mean (SD)) 66.66 (8.47) 68.57 (8.28) 0.005
## cat_gender = Male (%) 865 (78.9) 145 (78.4) 0.961
## val_bmi (mean (SD)) 29.89 (5.83) 31.07 (5.68) 0.011
## val_egfr (mean (SD)) 78.01 (19.27) 65.02 (24.36) <0.001
## bin_htn = 1 (%) 275 (25.1) 56 (30.3) 0.160
## bin_diabetes = 1 (%) 209 (19.1) 45 (24.3) 0.118
## bin_mi = 1 (%) 257 (23.4) 54 (29.2) 0.110
## bin_chf = 1 (%) 31 ( 2.8) 6 ( 3.2) 0.939
## cat_ef (%) <0.001
## 15-20% 4 ( 0.4) 3 ( 1.6)
## 20-25% 13 ( 1.2) 1 ( 0.5)
## 25-30% 25 ( 2.3) 7 ( 3.8)
## 30-35% 25 ( 2.3) 11 ( 5.9)
## 35-40% 49 ( 4.5) 8 ( 4.3)
## 40-45% 58 ( 5.3) 21 (11.4)
## 45-50% 89 ( 8.1) 13 ( 7.0)
## 50-55% 128 (11.7) 18 ( 9.7)
## 55-60% 491 (44.8) 66 (35.7)
## 60-65% 163 (14.9) 24 (13.0)
## 65-70% 46 ( 4.2) 9 ( 4.9)
## 70-75% 6 ( 0.5) 4 ( 2.2)
## bin_iabp = 1 (%) 21 ( 1.9) 8 ( 4.3) 0.076
## bin_stroke = 1 (%) 22 ( 2.0) 5 ( 2.7) 0.738
## bin_pvd = 1 (%) 31 ( 2.8) 5 ( 2.7) 1.000
## bin_cld = 1 (%) 22 ( 2.0) 4 ( 2.2) 1.000
## bin_betablocker = 1 (%) 868 (79.1) 155 (83.8) 0.174
## bin_acearb = 1 (%) 724 (66.0) 140 (75.7) 0.012
## bin_statin = 1 (%) 935 (85.2) 167 (90.3) 0.087
## val_creatlst (mean (SD)) 1.04 (0.32) 1.33 (0.66) <0.001
## bin_redo = 1 (%) 2 ( 0.2) 0 ( 0.0) 1.000
## bin_emergent = 1 (%) 72 ( 6.6) 11 ( 5.9) 0.877
## bin_aki48h (mean (SD)) 0.00 (0.00) 1.00 (0.00) <0.001
## val_proctime (mean (SD)) 345.80 (66.54) 368.54 (81.06) <0.001
## val_crystalloid (mean (SD)) 6761.85 (2108.51) 6683.78 (1948.04) 0.638
## cat_rbc (%) <0.001
## >1 74 ( 6.7) 31 (16.8)
## 0 946 (86.2) 124 (67.0)
## 1 77 ( 7.0) 30 (16.2)
## val_cpbtime (mean (SD)) 102.72 (35.46) 114.44 (41.88) <0.001
## val_ef (mean (SD)) 54.17 (9.95) 52.14 (11.97) 0.013
## bin_ef40 = >40% (%) 981 (89.4) 155 (83.8) 0.035By Tertiles of minutes in ranges
Time with CI < 2
## 33.33333% 66.66667%
## 1 33## Stratified by tertile
## t1 t2
## n 428 427
## val_age (mean (SD)) 65.33 (8.32) 66.35 (8.35)
## cat_gender = Male (%) 351 (82.0) 352 (82.4)
## val_bmi (mean (SD)) 30.01 (5.64) 30.09 (5.65)
## val_egfr (mean (SD)) 77.79 (21.41) 79.12 (19.90)
## bin_htn = 1 (%) 91 (21.3) 117 (27.4)
## bin_diabetes = 1 (%) 75 (17.5) 90 (21.1)
## bin_mi = 1 (%) 105 (24.5) 99 (23.2)
## bin_chf = 1 (%) 7 ( 1.6) 7 ( 1.6)
## cat_ef (%)
## 15-20% 3 ( 0.7) 2 ( 0.5)
## 20-25% 5 ( 1.2) 5 ( 1.2)
## 25-30% 10 ( 2.3) 10 ( 2.3)
## 30-35% 13 ( 3.0) 8 ( 1.9)
## 35-40% 9 ( 2.1) 29 ( 6.8)
## 40-45% 21 ( 4.9) 33 ( 7.7)
## 45-50% 34 ( 7.9) 27 ( 6.3)
## 50-55% 43 (10.0) 53 (12.4)
## 55-60% 204 (47.7) 183 (42.9)
## 60-65% 63 (14.7) 59 (13.8)
## 65-70% 20 ( 4.7) 14 ( 3.3)
## 70-75% 3 ( 0.7) 4 ( 0.9)
## bin_iabp = 1 (%) 4 ( 0.9) 5 ( 1.2)
## bin_stroke = 1 (%) 4 ( 0.9) 9 ( 2.1)
## bin_pvd = 1 (%) 12 ( 2.8) 11 ( 2.6)
## bin_cld = 1 (%) 9 ( 2.1) 10 ( 2.3)
## bin_betablocker = 1 (%) 331 (77.3) 341 (79.9)
## bin_acearb = 1 (%) 284 (66.4) 287 (67.2)
## bin_statin = 1 (%) 371 (86.7) 361 (84.5)
## val_creatlst (mean (SD)) 1.08 (0.44) 1.05 (0.38)
## bin_redo = 1 (%) 0 ( 0.0) 1 ( 0.2)
## bin_emergent = 1 (%) 28 ( 6.5) 29 ( 6.8)
## bin_aki48h (mean (SD)) 0.14 (0.35) 0.12 (0.32)
## val_proctime (mean (SD)) 338.65 (62.02) 339.13 (64.41)
## val_crystalloid (mean (SD)) 6588.79 (2105.74) 6853.63 (2099.69)
## cat_rbc (%)
## >1 26 ( 6.1) 28 ( 6.6)
## 0 367 (85.7) 372 (87.1)
## 1 35 ( 8.2) 27 ( 6.3)
## val_cpbtime (mean (SD)) 98.90 (33.67) 103.01 (34.30)
## val_ef (mean (SD)) 54.52 (10.12) 53.47 (10.18)
## bin_ef40 = >40% (%) 388 (90.7) 373 (87.4)
## Stratified by tertile
## t3 p test
## n 427
## val_age (mean (SD)) 69.15 (8.28) <0.001
## cat_gender = Male (%) 307 (71.9) <0.001
## val_bmi (mean (SD)) 30.08 (6.18) 0.974
## val_egfr (mean (SD)) 71.49 (19.64) <0.001
## bin_htn = 1 (%) 123 (28.8) 0.027
## bin_diabetes = 1 (%) 89 (20.8) 0.345
## bin_mi = 1 (%) 107 (25.1) 0.805
## bin_chf = 1 (%) 23 ( 5.4) 0.001
## cat_ef (%) 0.278
## 15-20% 2 ( 0.5)
## 20-25% 4 ( 0.9)
## 25-30% 12 ( 2.8)
## 30-35% 15 ( 3.5)
## 35-40% 19 ( 4.4)
## 40-45% 25 ( 5.9)
## 45-50% 41 ( 9.6)
## 50-55% 50 (11.7)
## 55-60% 170 (39.8)
## 60-65% 65 (15.2)
## 65-70% 21 ( 4.9)
## 70-75% 3 ( 0.7)
## bin_iabp = 1 (%) 20 ( 4.7) <0.001
## bin_stroke = 1 (%) 14 ( 3.3) 0.058
## bin_pvd = 1 (%) 13 ( 3.0) 0.918
## bin_cld = 1 (%) 7 ( 1.6) 0.760
## bin_betablocker = 1 (%) 351 (82.2) 0.208
## bin_acearb = 1 (%) 293 (68.6) 0.776
## bin_statin = 1 (%) 370 (86.7) 0.587
## val_creatlst (mean (SD)) 1.12 (0.39) 0.056
## bin_redo = 1 (%) 1 ( 0.2) 0.605
## bin_emergent = 1 (%) 26 ( 6.1) 0.914
## bin_aki48h (mean (SD)) 0.17 (0.38) 0.081
## val_proctime (mean (SD)) 369.49 (76.10) <0.001
## val_crystalloid (mean (SD)) 6809.72 (2045.89) 0.138
## cat_rbc (%) 0.001
## >1 51 (11.9)
## 0 331 (77.5)
## 1 45 (10.5)
## val_cpbtime (mean (SD)) 111.30 (40.62) <0.001
## val_ef (mean (SD)) 53.66 (10.55) 0.282
## bin_ef40 = >40% (%) 375 (87.8) 0.259Time with MAP < 65
## 33.33333% 66.66667%
## 37 59## Stratified by tertile
## t1 t2
## n 434 427
## val_age (mean (SD)) 65.20 (8.51) 67.31 (8.34)
## cat_gender = Male (%) 334 (77.0) 343 (80.3)
## val_bmi (mean (SD)) 30.78 (5.95) 29.48 (5.66)
## val_egfr (mean (SD)) 77.89 (20.38) 77.53 (19.24)
## bin_htn = 1 (%) 119 (27.4) 96 (22.5)
## bin_diabetes = 1 (%) 87 (20.0) 79 (18.5)
## bin_mi = 1 (%) 93 (21.4) 106 (24.8)
## bin_chf = 1 (%) 14 ( 3.2) 10 ( 2.3)
## cat_ef (%)
## 15-20% 1 ( 0.2) 0 ( 0.0)
## 20-25% 6 ( 1.4) 6 ( 1.4)
## 25-30% 7 ( 1.6) 13 ( 3.0)
## 30-35% 10 ( 2.3) 8 ( 1.9)
## 35-40% 17 ( 3.9) 15 ( 3.5)
## 40-45% 16 ( 3.7) 31 ( 7.3)
## 45-50% 32 ( 7.4) 33 ( 7.7)
## 50-55% 54 (12.4) 46 (10.8)
## 55-60% 197 (45.4) 194 (45.4)
## 60-65% 76 (17.5) 52 (12.2)
## 65-70% 15 ( 3.5) 23 ( 5.4)
## 70-75% 3 ( 0.7) 6 ( 1.4)
## bin_iabp = 1 (%) 6 ( 1.4) 6 ( 1.4)
## bin_stroke = 1 (%) 7 ( 1.6) 12 ( 2.8)
## bin_pvd = 1 (%) 11 ( 2.5) 12 ( 2.8)
## bin_cld = 1 (%) 10 ( 2.3) 7 ( 1.6)
## bin_betablocker = 1 (%) 340 (78.3) 342 (80.1)
## bin_acearb = 1 (%) 289 (66.6) 287 (67.2)
## bin_statin = 1 (%) 366 (84.3) 359 (84.1)
## val_creatlst (mean (SD)) 1.06 (0.38) 1.05 (0.34)
## bin_redo = 1 (%) 0 ( 0.0) 0 ( 0.0)
## bin_emergent = 1 (%) 27 ( 6.2) 31 ( 7.3)
## bin_aki48h (mean (SD)) 0.11 (0.31) 0.13 (0.34)
## val_proctime (mean (SD)) 332.90 (63.86) 340.58 (60.28)
## val_crystalloid (mean (SD)) 6762.67 (2045.42) 6599.53 (2058.57)
## cat_rbc (%)
## >1 20 ( 4.6) 23 ( 5.4)
## 0 384 (88.5) 368 (86.2)
## 1 30 ( 6.9) 36 ( 8.4)
## val_cpbtime (mean (SD)) 94.94 (30.16) 100.19 (33.69)
## val_ef (mean (SD)) 54.82 (9.68) 54.21 (10.08)
## bin_ef40 = >40% (%) 393 (90.6) 385 (90.2)
## Stratified by tertile
## t3 p test
## n 421
## val_age (mean (SD)) 68.35 (8.24) <0.001
## cat_gender = Male (%) 333 (79.1) 0.473
## val_bmi (mean (SD)) 29.90 (5.79) 0.004
## val_egfr (mean (SD)) 72.91 (21.76) <0.001
## bin_htn = 1 (%) 116 (27.6) 0.155
## bin_diabetes = 1 (%) 88 (20.9) 0.673
## bin_mi = 1 (%) 112 (26.6) 0.199
## bin_chf = 1 (%) 13 ( 3.1) 0.708
## cat_ef (%) 0.007
## 15-20% 6 ( 1.4)
## 20-25% 2 ( 0.5)
## 25-30% 12 ( 2.9)
## 30-35% 18 ( 4.3)
## 35-40% 25 ( 5.9)
## 40-45% 32 ( 7.6)
## 45-50% 37 ( 8.8)
## 50-55% 46 (10.9)
## 55-60% 166 (39.4)
## 60-65% 59 (14.0)
## 65-70% 17 ( 4.0)
## 70-75% 1 ( 0.2)
## bin_iabp = 1 (%) 17 ( 4.0) 0.011
## bin_stroke = 1 (%) 8 ( 1.9) 0.444
## bin_pvd = 1 (%) 13 ( 3.1) 0.887
## bin_cld = 1 (%) 9 ( 2.1) 0.772
## bin_betablocker = 1 (%) 341 (81.0) 0.616
## bin_acearb = 1 (%) 288 (68.4) 0.847
## bin_statin = 1 (%) 377 (89.5) 0.035
## val_creatlst (mean (SD)) 1.14 (0.48) 0.003
## bin_redo = 1 (%) 2 ( 0.5) 0.129
## bin_emergent = 1 (%) 25 ( 5.9) 0.711
## bin_aki48h (mean (SD)) 0.19 (0.40) 0.001
## val_proctime (mean (SD)) 374.38 (75.85) <0.001
## val_crystalloid (mean (SD)) 6891.33 (2147.45) 0.124
## cat_rbc (%) <0.001
## >1 62 (14.7)
## 0 318 (75.5)
## 1 41 ( 9.7)
## val_cpbtime (mean (SD)) 118.40 (41.27) <0.001
## val_ef (mean (SD)) 52.57 (10.98) 0.004
## bin_ef40 = >40% (%) 358 (85.0) 0.019Time with MAP < 65 and CI < 2
## 33.33333% 66.66667%
## 0 2## Stratified by tertile
## t1 t2
## n 692 187
## val_age (mean (SD)) 65.13 (8.15) 66.94 (8.30)
## cat_gender = Male (%) 562 (81.2) 153 (81.8)
## val_bmi (mean (SD)) 30.27 (5.79) 29.84 (6.13)
## val_egfr (mean (SD)) 78.71 (20.70) 75.47 (20.03)
## bin_htn = 1 (%) 162 (23.4) 61 (32.6)
## bin_diabetes = 1 (%) 122 (17.6) 43 (23.0)
## bin_mi = 1 (%) 173 (25.0) 42 (22.5)
## bin_chf = 1 (%) 13 ( 1.9) 3 ( 1.6)
## cat_ef (%)
## 15-20% 3 ( 0.4) 2 ( 1.1)
## 20-25% 9 ( 1.3) 2 ( 1.1)
## 25-30% 15 ( 2.2) 5 ( 2.7)
## 30-35% 22 ( 3.2) 2 ( 1.1)
## 35-40% 27 ( 3.9) 11 ( 5.9)
## 40-45% 36 ( 5.2) 14 ( 7.5)
## 45-50% 55 ( 7.9) 17 ( 9.1)
## 50-55% 68 ( 9.8) 24 (12.8)
## 55-60% 319 (46.1) 81 (43.3)
## 60-65% 98 (14.2) 22 (11.8)
## 65-70% 33 ( 4.8) 7 ( 3.7)
## 70-75% 7 ( 1.0) 0 ( 0.0)
## bin_iabp = 1 (%) 10 ( 1.4) 2 ( 1.1)
## bin_stroke = 1 (%) 9 ( 1.3) 5 ( 2.7)
## bin_pvd = 1 (%) 18 ( 2.6) 5 ( 2.7)
## bin_cld = 1 (%) 15 ( 2.2) 2 ( 1.1)
## bin_betablocker = 1 (%) 545 (78.8) 147 (78.6)
## bin_acearb = 1 (%) 467 (67.5) 114 (61.0)
## bin_statin = 1 (%) 596 (86.1) 160 (85.6)
## val_creatlst (mean (SD)) 1.07 (0.42) 1.09 (0.39)
## bin_redo = 1 (%) 0 ( 0.0) 0 ( 0.0)
## bin_emergent = 1 (%) 43 ( 6.2) 15 ( 8.0)
## bin_aki48h (mean (SD)) 0.13 (0.34) 0.11 (0.31)
## val_proctime (mean (SD)) 341.70 (63.48) 351.13 (71.10)
## val_crystalloid (mean (SD)) 6710.26 (2085.99) 6553.48 (2129.66)
## cat_rbc (%)
## >1 40 ( 5.8) 11 ( 5.9)
## 0 599 (86.6) 163 (87.2)
## 1 53 ( 7.7) 13 ( 7.0)
## val_cpbtime (mean (SD)) 101.89 (34.77) 103.00 (35.50)
## val_ef (mean (SD)) 54.22 (10.30) 53.07 (10.05)
## bin_ef40 = >40% (%) 616 (89.0) 165 (88.2)
## Stratified by tertile
## t3 p test
## n 403
## val_age (mean (SD)) 70.04 (8.18) <0.001
## cat_gender = Male (%) 295 (73.2) 0.004
## val_bmi (mean (SD)) 29.79 (5.74) 0.358
## val_egfr (mean (SD)) 72.02 (20.00) <0.001
## bin_htn = 1 (%) 108 (26.8) 0.033
## bin_diabetes = 1 (%) 89 (22.1) 0.101
## bin_mi = 1 (%) 96 (23.8) 0.749
## bin_chf = 1 (%) 21 ( 5.2) 0.003
## cat_ef (%) 0.566
## 15-20% 2 ( 0.5)
## 20-25% 3 ( 0.7)
## 25-30% 12 ( 3.0)
## 30-35% 12 ( 3.0)
## 35-40% 19 ( 4.7)
## 40-45% 29 ( 7.2)
## 45-50% 30 ( 7.4)
## 50-55% 54 (13.4)
## 55-60% 157 (39.0)
## 60-65% 67 (16.6)
## 65-70% 15 ( 3.7)
## 70-75% 3 ( 0.7)
## bin_iabp = 1 (%) 17 ( 4.2) 0.006
## bin_stroke = 1 (%) 13 ( 3.2) 0.085
## bin_pvd = 1 (%) 13 ( 3.2) 0.828
## bin_cld = 1 (%) 9 ( 2.2) 0.601
## bin_betablocker = 1 (%) 331 (82.1) 0.369
## bin_acearb = 1 (%) 283 (70.2) 0.082
## bin_statin = 1 (%) 346 (85.9) 0.978
## val_creatlst (mean (SD)) 1.10 (0.37) 0.441
## bin_redo = 1 (%) 2 ( 0.5) 0.113
## bin_emergent = 1 (%) 25 ( 6.2) 0.649
## bin_aki48h (mean (SD)) 0.18 (0.39) 0.026
## val_proctime (mean (SD)) 360.81 (76.05) <0.001
## val_crystalloid (mean (SD)) 6911.29 (2058.01) 0.115
## cat_rbc (%) <0.001
## >1 54 (13.4)
## 0 308 (76.4)
## 1 41 (10.2)
## val_cpbtime (mean (SD)) 109.39 (39.84) 0.004
## val_ef (mean (SD)) 53.68 (10.37) 0.360
## bin_ef40 = >40% (%) 355 (88.1) 0.883Individuals with time in range
CI
MAP
MAP and CI
Table
| MAP | CI | Mean (SD) | n (%) |
|---|---|---|---|
| <65 | <=2 | 4.9 (9.3) | 381 (30) |
| <65 | (2,2.4] | 4.5 (7.2) | 422 (33) |
| <65 | (2.4, 2.8] | 3.6 (6.5) | 339 (26) |
| <65 | >2.8 | 4.1 (8.3) | 331 (26) |
| >=65 | <=2 | 33 (38) | 893 (70) |
| >=65 | (2,2.4] | 35 (28) | 1118 (87) |
| >=65 | (2.4, 2.8] | 29 (24) | 1087 (85) |
| >=65 | >2.8 | 31 (37) | 897 (70) |
Figures
CI Exposure
Concurrent MAP/CI
Distribution of times in ranges
Regressions: primary analysis
Univariate regressions
Adjusted regressions
Controlling for:
- Age
- Sex
- Bypass time
- Baseline creatinine
- BMI
- Hypertension
- Diabetes
- MI
- CHF
- EF (continuous)
- Beta blocker
- Ace/Arb
- Statin
- Redo
- Emergent
- PVD
- Chronic lung disease
- Stroke
| Observations | 1275 (7 missing obs. deleted) |
| Dependent variable | bin_aki48h |
| Type | Generalized linear model |
| Family | binomial |
| Link | logit |
| 𝛘²(25) | 101.10 |
| p | 0.00 |
| Pseudo-R² (Cragg-Uhler) | 0.14 |
| Pseudo-R² (McFadden) | 0.10 |
| AIC | 1003.33 |
| BIC | 1137.24 |
| exp(Est.) | 2.5% | 97.5% | z val. | p | |
|---|---|---|---|---|---|
| (Intercept) | 0.00 | 0.00 | 0.04 | -4.77 | 0.00 |
| hypo_q1 | 1.15 | 1.05 | 1.25 | 2.99 | 0.00 |
| hypo_q2 | 0.96 | 0.85 | 1.08 | -0.71 | 0.48 |
| hypo_q3 | 1.03 | 0.89 | 1.19 | 0.40 | 0.69 |
| hypo_q4 | 0.99 | 0.87 | 1.12 | -0.19 | 0.85 |
| normo_q1 | 0.98 | 0.95 | 1.01 | -1.32 | 0.19 |
| normo_q2 | 1.03 | 1.00 | 1.06 | 1.79 | 0.07 |
| normo_q3 | 0.97 | 0.93 | 1.01 | -1.48 | 0.14 |
| normo_q4 | 1.01 | 0.98 | 1.04 | 0.78 | 0.44 |
| cat_genderMale | 1.03 | 0.67 | 1.56 | 0.11 | 0.91 |
| val_creatlst | 3.41 | 2.39 | 4.87 | 6.74 | 0.00 |
| val_age | 1.02 | 1.00 | 1.05 | 2.03 | 0.04 |
| val_bmi | 1.03 | 1.00 | 1.06 | 2.21 | 0.03 |
| bin_htn | 1.10 | 0.74 | 1.65 | 0.47 | 0.64 |
| bin_diabetes | 1.01 | 0.65 | 1.56 | 0.04 | 0.97 |
| bin_stroke | 1.00 | 0.35 | 2.87 | 0.00 | 1.00 |
| val_ef | 0.98 | 0.97 | 1.00 | -1.86 | 0.06 |
| bin_mi | 1.29 | 0.88 | 1.88 | 1.31 | 0.19 |
| bin_chf | 0.72 | 0.26 | 1.96 | -0.65 | 0.52 |
| bin_pvd | 0.64 | 0.21 | 1.90 | -0.80 | 0.42 |
| bin_cld | 0.88 | 0.27 | 2.90 | -0.21 | 0.84 |
| bin_betablocker | 1.00 | 0.62 | 1.62 | 0.01 | 0.99 |
| bin_acearb | 1.20 | 0.80 | 1.80 | 0.90 | 0.37 |
| bin_statin | 1.33 | 0.75 | 2.36 | 0.97 | 0.33 |
| bin_redo | 0.00 | 0.00 | Inf | -0.02 | 0.98 |
| bin_emergent | 0.99 | 0.50 | 1.97 | -0.03 | 0.98 |
| Standard errors: MLE |
Nested models
Comparing MAP <65 model with all MAP,CI combos and MAP <65
## [1] 0.3986138## [1] 0.3965954## [1] 0.4136672## [1] 0.4041968| Observations | 1275 (7 missing obs. deleted) |
| Dependent variable | bin_aki48h |
| Type | Generalized linear model |
| Family | binomial |
| Link | logit |
| 𝛘²(26) | 103.47 |
| p | 0.00 |
| Pseudo-R² (Cragg-Uhler) | 0.14 |
| Pseudo-R² (McFadden) | 0.10 |
| AIC | 1002.96 |
| BIC | 1142.03 |
| exp(Est.) | 2.5% | 97.5% | z val. | p | |
|---|---|---|---|---|---|
| (Intercept) | 0.00 | 0.00 | 0.03 | -4.90 | 0.00 |
| hypo_q1 | 1.10 | 1.00 | 1.22 | 1.89 | 0.06 |
| hypo_q2 | 0.93 | 0.82 | 1.05 | -1.18 | 0.24 |
| hypo_q3 | 0.99 | 0.85 | 1.16 | -0.07 | 0.94 |
| hypo_q4 | 0.95 | 0.83 | 1.09 | -0.77 | 0.44 |
| normo_q1 | 0.98 | 0.95 | 1.01 | -1.31 | 0.19 |
| normo_q2 | 1.03 | 1.00 | 1.07 | 1.81 | 0.07 |
| normo_q3 | 0.97 | 0.93 | 1.01 | -1.43 | 0.15 |
| normo_q4 | 1.01 | 0.98 | 1.04 | 0.79 | 0.43 |
| map_65 | 1.03 | 0.99 | 1.07 | 1.57 | 0.12 |
| cat_genderMale | 0.99 | 0.65 | 1.52 | -0.03 | 0.97 |
| val_creatlst | 3.43 | 2.39 | 4.90 | 6.73 | 0.00 |
| val_age | 1.02 | 1.00 | 1.05 | 2.08 | 0.04 |
| val_bmi | 1.03 | 1.00 | 1.06 | 2.15 | 0.03 |
| bin_htn | 1.10 | 0.74 | 1.65 | 0.48 | 0.63 |
| bin_diabetes | 1.01 | 0.65 | 1.57 | 0.06 | 0.95 |
| bin_stroke | 1.00 | 0.35 | 2.87 | 0.01 | 1.00 |
| val_ef | 0.99 | 0.97 | 1.00 | -1.79 | 0.07 |
| bin_mi | 1.27 | 0.87 | 1.85 | 1.24 | 0.21 |
| bin_chf | 0.68 | 0.25 | 1.88 | -0.74 | 0.46 |
| bin_pvd | 0.63 | 0.21 | 1.88 | -0.83 | 0.41 |
| bin_cld | 0.89 | 0.27 | 2.93 | -0.19 | 0.85 |
| bin_betablocker | 1.02 | 0.63 | 1.64 | 0.07 | 0.94 |
| bin_acearb | 1.22 | 0.81 | 1.82 | 0.95 | 0.34 |
| bin_statin | 1.29 | 0.73 | 2.29 | 0.86 | 0.39 |
| bin_redo | 0.00 | 0.00 | Inf | -0.02 | 0.98 |
| bin_emergent | 0.96 | 0.48 | 1.92 | -0.10 | 0.92 |
| Standard errors: MLE |
## Analysis of Deviance Table
##
## Model 1: bin_aki48h ~ map_65 + cat_gender + val_creatlst + val_age + val_bmi +
## bin_htn + bin_diabetes + bin_stroke + val_ef + bin_mi + bin_chf +
## bin_pvd + bin_cld + bin_betablocker + bin_acearb + bin_statin +
## bin_redo + bin_emergent
## Model 2: bin_aki48h ~ hypo_q1 + hypo_q2 + hypo_q3 + hypo_q4 + normo_q1 +
## normo_q2 + normo_q3 + normo_q4 + map_65 + cat_gender + val_creatlst +
## val_age + val_bmi + bin_htn + bin_diabetes + bin_stroke +
## val_ef + bin_mi + bin_chf + bin_pvd + bin_cld + bin_betablocker +
## bin_acearb + bin_statin + bin_redo + bin_emergent
## Resid. Df Resid. Dev Df Deviance F Pr(>F)
## 1 1256 959.30
## 2 1248 948.96 8 10.344 1.293 0.2417Comparing MAP <65 model with low MAP low CI model
| Observations | 1275 (7 missing obs. deleted) |
| Dependent variable | bin_aki48h |
| Type | Generalized linear model |
| Family | binomial |
| Link | logit |
| 𝛘²(19) | 96.83 |
| p | 0.00 |
| Pseudo-R² (Cragg-Uhler) | 0.13 |
| Pseudo-R² (McFadden) | 0.09 |
| AIC | 995.60 |
| BIC | 1098.62 |
| exp(Est.) | 2.5% | 97.5% | z val. | p | |
|---|---|---|---|---|---|
| (Intercept) | 0.00 | 0.00 | 0.04 | -5.01 | 0.00 |
| hypo_q1 | 1.09 | 1.00 | 1.18 | 1.92 | 0.05 |
| map_65 | 1.02 | 0.99 | 1.05 | 1.34 | 0.18 |
| cat_genderMale | 1.01 | 0.66 | 1.53 | 0.04 | 0.97 |
| val_creatlst | 3.40 | 2.39 | 4.85 | 6.77 | 0.00 |
| val_age | 1.02 | 1.00 | 1.04 | 1.79 | 0.07 |
| val_bmi | 1.03 | 1.01 | 1.06 | 2.33 | 0.02 |
| bin_htn | 1.12 | 0.75 | 1.68 | 0.56 | 0.57 |
| bin_diabetes | 0.98 | 0.63 | 1.52 | -0.08 | 0.94 |
| bin_stroke | 1.03 | 0.36 | 2.90 | 0.05 | 0.96 |
| val_ef | 0.99 | 0.97 | 1.00 | -1.83 | 0.07 |
| bin_mi | 1.29 | 0.89 | 1.88 | 1.34 | 0.18 |
| bin_chf | 0.65 | 0.24 | 1.76 | -0.85 | 0.40 |
| bin_pvd | 0.60 | 0.20 | 1.77 | -0.92 | 0.36 |
| bin_cld | 0.94 | 0.28 | 3.09 | -0.11 | 0.92 |
| bin_betablocker | 1.01 | 0.62 | 1.62 | 0.02 | 0.98 |
| bin_acearb | 1.23 | 0.82 | 1.84 | 1.01 | 0.31 |
| bin_statin | 1.23 | 0.69 | 2.18 | 0.71 | 0.48 |
| bin_redo | 0.00 | 0.00 | 47313893965827297202248635100497784265504111395082261302051242360360631031757257791775479333973855280483545755975339673103944459152916272939752444559557672820015247814212556503142600143289648151283092696634757109261343901313538717319050053392942023470847754315450522258764628522620251361180008022286532608.00 | -0.03 | 0.97 |
| bin_emergent | 0.97 | 0.49 | 1.93 | -0.08 | 0.94 |
| Standard errors: MLE |
## Analysis of Deviance Table
##
## Model 1: bin_aki48h ~ map_65 + cat_gender + val_creatlst + val_age + val_bmi +
## bin_htn + bin_diabetes + bin_stroke + val_ef + bin_mi + bin_chf +
## bin_pvd + bin_cld + bin_betablocker + bin_acearb + bin_statin +
## bin_redo + bin_emergent
## Model 2: bin_aki48h ~ hypo_q1 + map_65 + cat_gender + val_creatlst + val_age +
## val_bmi + bin_htn + bin_diabetes + bin_stroke + val_ef +
## bin_mi + bin_chf + bin_pvd + bin_cld + bin_betablocker +
## bin_acearb + bin_statin + bin_redo + bin_emergent
## Resid. Df Resid. Dev Df Deviance F Pr(>F)
## 1 1256 959.3
## 2 1255 955.6 1 3.6979 3.6979 0.05448 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Substitution
Sub 5 minutes MAP < 65, CI in quartile 1 (<2) to 5 minutes MAP < 65, CI in quartile 2 (2-2.4)
##
## Simultaneous Tests for General Linear Hypotheses
##
## Fit: glm(formula = bin_aki48h ~ ., family = binomial(), data = df %>%
## select(contains("q"), bin_aki48h, cat_gender, val_creatlst,
## val_age, val_bmi, bin_htn, bin_diabetes, bin_stroke,
## val_ef, bin_mi, bin_chf, bin_pvd, bin_cld, bin_betablocker,
## bin_acearb, bin_statin, bin_redo, bin_emergent) %>% mutate(across(c(contains("q"),
## contains("map")), ~.x/5)))
##
## Linear Hypotheses:
## Estimate Std. Error z value Pr(>|z|)
## 1 == 0 -0.17914 0.08536 -2.099 0.0358 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## (Adjusted p values reported -- single-step method)## [1] 0.8359889## [1] 0.7071973 0.9882354Sub 5 minutes MAP < 65, CI < 2 to 5 minutes MAP < 65, CI >= 2
##
## Simultaneous Tests for General Linear Hypotheses
##
## Fit: glm(formula = bin_aki48h ~ low_map_low_ci + low_map_hi_ci + hi_map_low_ci +
## hi_map_hi_ci + cat_gender + val_creatlst + val_age + val_bmi +
## bin_htn + bin_diabetes + bin_stroke + val_ef + bin_mi + bin_chf +
## bin_pvd + bin_cld + bin_betablocker + bin_acearb + bin_statin +
## bin_redo + bin_emergent, family = binomial(), data = df2 %>%
## mutate(across(contains("map"), ~.x/5)))
##
## Linear Hypotheses:
## Estimate Std. Error z value Pr(>|z|)
## 1 == 0 -0.15226 0.06079 -2.505 0.0123 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## (Adjusted p values reported -- single-step method)## [1] 0.858765## [1] 0.7623051 0.9674306Sub 5 minutes MAP < 65, CI < 2 with 5 minutes MAP >= 65, CI < 2
##
## Simultaneous Tests for General Linear Hypotheses
##
## Fit: glm(formula = bin_aki48h ~ ., family = binomial(), data = df %>%
## select(contains("q"), bin_aki48h, cat_gender, val_creatlst,
## val_age, val_bmi, bin_htn, bin_diabetes, bin_stroke,
## val_ef, bin_mi, bin_chf, bin_pvd, bin_cld, bin_betablocker,
## bin_acearb, bin_statin, bin_redo, bin_emergent) %>% mutate(across(c(contains("q"),
## contains("map")), ~.x/5)))
##
## Linear Hypotheses:
## Estimate Std. Error z value Pr(>|z|)
## 1 == 0 -0.15557 0.05211 -2.985 0.00283 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## (Adjusted p values reported -- single-step method)## [1] 0.8559272Regressions: subgroup analyses
Univariate
LVEF groups
Shock groups
eGFR groups
Surgery phase
Tertiles
Quintiles
Adjusted with all bricks in model
LVEF groups
Shock groups
eGFR groups
Forest plot
Surgery phase
Tertiles
Quintiles
Lasagna Plots
